Case Study: Leading U.S. Banking and Financial Services Firm achieves unified customer analytics with Tredence

Recommendations for a Large-Scale Data Analytics Hub to Enable Customer Analytics

A leading U.S. Banking and Financial Services Firm turned to Tredence as it navigated a merger with its parent company, which created redundant systems, fragmented data sources, and inconsistent, delayed records. The firm needed a secure, compliant cloud data strategy to unify data, standardize analytics, and support customer analytics and AI/ML use cases such as cross-sell and retention.

Tredence addressed this by recommending a Data Integration Hub and building a scalable Data Analytics Hub, supported by its SANCUS data quality accelerator on Azure Databricks and an Enterprise Data Model. The solution consolidated 600+ datasets in four months, achieved 100% adoption of data models, processed over 100 TB of data within minutes, and improved data quality by 20%+, enabling stronger reporting, better customer experiences, and new cross-sell opportunities.